Vol. 2 No. 1 (2024): Volume-II, Number-I, 2024
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Emerging Trends in Artificial Intelligence: Ethical Implications and Future Prospects in Automation
Abstract 82
Artificial Intelligence (AI) is rapidly transforming the landscape of automation across industries, from manufacturing and logistics to healthcare and finance. This paper explores the most significant emerging trends in AI, including advancements in machine learning, natural language processing, and autonomous systems, and how these innovations are redefining human–machine interactions. Along ... read more
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Nanotechnology in Modern Medicine: A Revolutionary Approach to Targeted Drug Delivery
Abstract 73
Nanotechnology has revolutionized modern medicine by enabling highly precise and efficient targeted drug delivery systems. This paper explores the recent advancements in Nano carrier design, including liposomes, dendrimers, polymeric nanoparticles, and metallic nanostructures, which facilitate controlled release and improved bioavailability of therapeutic agents. By focusing on targeted deliver ... read more
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Explainable AI (XAI) in Healthcare: Bridging the Gap between Accuracy and Interpretability
Abstract 122
Artificial Intelligence (AI) has demonstrated significant potential in revolutionizing healthcare by enhancing diagnostic accuracy, predicting patient outcomes, and optimizing treatment plans. However, the increasing reliance on complex, black-box models has raised critical concerns around transparency, trust, and accountability—particularly in high-stakes medical settings where interpretabil ... read more
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Generative AI and Deep fake s: Ethical Implications and Detection Techniques
Abstract 209
Generative Artificial Intelligence (AI) has revolutionized content creation, enabling the synthesis of highly realistic images, videos, audio, and text. However, this advancement has also given rise to deep fake s—synthetic media that can convincingly mimic real individuals and events—posing significant ethical and societal challenges. This paper explores the dual-edged nature of generative ... read more
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Quantum Machine Learning: Algorithms, Applications, and Limitations
Abstract 69
As the limits of classical machine learning (ML) become increasingly evident—especially in terms of computational scalability and data processing—quantum computing emerges as a promising frontier capable of addressing these challenges. Quantum Machine Learning (QML) represents the intersection of quantum computing and traditional ML, aiming to leverage quantum phenomena suc ... read more
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Quantum Risk Modeling Redefining Actuarial Science with Quantum Algorithms
Abstract 38
The synergy of actuarial science and quantum computing has become a change in the paradigm of how risk is being modeled, quantified and predicted. Conventional actuarial approaches are effective, but they are computationally expensive and their capability of handling high-dimensional data, complex correlations and fast-changing financial ecosystem are all subject to the inherent limitations. Th ... read more
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Deep fake Defense Combating Synthetic Media with AI-Powered Detection Tools
Abstract 62
The fast development of artificial intelligence made it possible to create hyper-realistic synthetic media that are popularly called deepfakes. Although this technology has immense potential in terms of entertainment, education and accessibility, its ill intent use is posing very serious threats to privacy, security, democracy and trust in the society. Deepfakes have the potential to be used in ... read more